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Development of urban air quality plans and measures in Madrid (Spain) under a multi-scale air quality modeling approach

Citation

Borge García, Rafael and Lumbreras Martin, Julio and Paz Martín, David de la and Pérez Rodríguez, Javier and Andrés Almeida, Juan Manuel de and Quaassdorff, Christina Violetta
(2015).
Development of urban air quality plans and measures in Madrid (Spain) under a multi-scale air quality modeling approach.
In: "ICCS 2015 International Conference on City Sciences 2015: New architectures, infraestructures and services for future cities", 4-5 June 2015, Shanghai (China). pp. 1-3.

Description

Title:

Development of urban air quality plans and measures in Madrid (Spain) under a multi-scale air quality modeling approach

Author/s:

Borge García, Rafael

Lumbreras Martin, Julio

Paz Martín, David de la

Pérez Rodríguez, Javier

Andrés Almeida, Juan Manuel de

Quaassdorff, Christina Violetta

Item Type:

Presentation at Congress or Conference
(Article)

Event Title:

ICCS 2015 International Conference on City Sciences 2015: New architectures, infraestructures and services for future cities

Event Dates:

4-5 June 2015

Event Location:

Shanghai (China)

Title of Book:

Proceedings of ICCS 2015 International Conference on City Sciences: New architectures, infrastructures and services for future cities

Full text

Abstract

Poor urban air quality is one of the main environmental concerns worldwide. According to WHO (WHO, 2014) outdoor air pollution caused 3.7 million premature deaths in 2012, most of them in urban areas where both, emission sources and population concentrate. Even in Europe, despite of significant efforts, exceedances of air quality standards are common in large urban areas, particularly for NO2 (EEA, 2014). Therefore, tackling urban air quality constitutes a pressing priority from the social and political point of view. However, air pollution dynamics in urban environments is extremely complex and the design and assessment of effective emission abatement plans and measures posses a major scientific challenge. Emissions of different pollutants from a variety of sources interact through intertwined atmospheric transport processes and chemical transformations involving several spatial and temporal scales. In this context, air quality modelling constitutes an essential research tool for understanding and simulating the potential effect of emission abatement measures as well as to identify the best course of action to improve air quality in cities. This contribution reflects on the inherent complexities of urban air pollution and the development of air quality plans for the Madrid city as a
representative case study.